AIMC Topic: Esophageal Neoplasms
Clear Filters Showing 171 to 180 of 272 articles
Worldwide Techniques and Outcomes in Robot-assisted Minimally Invasive Esophagectomy (RAMIE): Results From the Multicenter International Registry.
Annals of surgery
Nov 9, 2020
OBJECTIVE: This international multicenter study by the Upper GI International Robotic Association aimed to gain insight in current techniques and outcomes of RAMIE worldwide.
Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue?
Gastrointestinal endoscopy clinics of North America
Oct 26, 2020
Because the current Barrett's esophagus (BE) surveillance protocol suffers from sampling error of random biopsies and a high miss-rate of early neoplastic lesions, many new endoscopic imaging and sampling techniques have been developed. None of these...
Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions.
Physics in medicine and biology
Oct 21, 2020
This work aims to develop a voxel-level dose prediction framework by integrating distance information between PTV and OARs, as well as image information, into a densely-connected network (DCNN). Firstly, a four-channel feature map, consisting of a PT...
Artificial Intelligence and Its Role in Identifying Esophageal Neoplasia.
Digestive diseases and sciences
Oct 15, 2020
Randomized trials have demonstrated that ablation of dysplastic Barrett's esophagus can reduce the risk of progression to cancer. Endoscopic resection for early stage esophageal adenocarcinoma and squamous cell carcinoma can significantly reduce post...
Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images.
Gastrointestinal endoscopy
Oct 13, 2020
BACKGROUND AND AIMS: Recent advances in deep convolutional neural networks (CNNs) have led to remarkable results in digestive endoscopy. In this study, we aimed to develop CNN-based models for the differential diagnosis of benign esophageal protruded...
Comments on: Lower Incidence of Postoperative Pulmonary Complications Following Robot-Assisted Minimally Invasive Esophagectomy for Esophageal Cancer: Propensity Score-Matched Comparison to Conventional Minimally Invasive Esophagectomy.
Annals of surgical oncology
Sep 29, 2020
Recurrent laryngeal nerve monitoring during totally robot-assisted Ivor Lewis esophagectomy.
Langenbeck's archives of surgery
Sep 24, 2020
PURPOSE: The robot-assisted approach for Ivor Lewis esophagectomy offers an enlarged, three-dimensional overview of the intraoperative situs. The vagal nerve (VN) can easily be detected, preserved, and intentionally resected below the separation poin...
Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Sep 15, 2020
BACKGROUND: Deep learning is promising to predict treatment response. We aimed to evaluate and validate the predictive performance of the CT-based model using deep learning features for predicting pathologic complete response to neoadjuvant chemoradi...
Lower Incidence of Postoperative Pulmonary Complications Following Robot-Assisted Minimally Invasive Esophagectomy for Esophageal Cancer: Propensity Score-Matched Comparison to Conventional Minimally Invasive Esophagectomy.
Annals of surgical oncology
Sep 5, 2020
BACKGROUND: Whether robot-assisted minimally invasive surgery (RAMIE) is more beneficial than conventional minimally invasive surgery (MIE) remains unclear.
ASO Author Reflections: Clinical Benefit of Robot-Assisted Minimally Invasive Esophagectomy over Conventional Minimally Invasive Esophagectomy.
Annals of surgical oncology
Aug 31, 2020
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